Staff Backend Engineer, AI Systems
New
M
MuralSoftware Engineering
United States Remote / United Kingdom RemoteFull-TimeStaff
Salary$181,000 - $226,000
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Job Details
- Experience
- 7+ years
- Required Skills
- Node.jsMongoDBReactLLMDistributed Systems
Requirements
- 7+ years of software engineering experience, with strong expertise designing, building, and operating reliable production systems, scalable services and APIs, and well-defined system architectures.
- Experience designing and operating distributed systems for complex workflows, including orchestration, asynchronous processing, job execution, retries, event-driven architectures, long-running processes, and failure recovery.
- Familiarity with AI, LLM, or agentic systems, including concepts such as tool use, context retrieval, evaluation, or model orchestration.
- Strong focus on production quality, including observability, reliability, testing, security, maintainability, and incident response.
- Strong communication skills, with the ability to produce clear technical documentation and collaborate cross-functionally.
- Experience working full stack or collaborating closely on product-facing frontend experiences.
- Deeper AI/ML experience, especially with LLM evaluation, experimentation, embeddings, retrieval systems.
- Experience with knowledge graphs, graph-based data modeling, entity resolution, or relationship-aware retrieval systems.
Responsibilities
- Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure.
- Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users.
- Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management.
- Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation.
- Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value.
- Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy.
- Champion engineering excellence, mentoring others and establishing best practices for building reliable AI systems.
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